2 papers
cs.LG2025
SPIEDiff: robust learning of long-time macroscopic dynamics from short-time particle simulations with quantified epistemic uncertainty
Zequn He, Celia Reina
The data-driven discovery of long-time macroscopic dynamics and thermodynamics of dissipative systems with particle fidelity is hampered by significant obstacles. These include the…
physics.comp-ph2025
EVODMs: variational learning of PDEs for stochastic systems via diffusion models with quantified epistemic uncertainty
Zequn He, Celia Reina
We present Epistemic Variational Onsager Diffusion Models (EVODMs), a machine learning framework that integrates Onsager's variational principle with diffusion models to enable the…